{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Experiment: \n",
    "\n",
    "Compare bayesian optimization experiments with random hyperparameter search\n",
    "\n",
    "#### Motivation.\n",
    "\n",
    "Evaluate bayesian optimization as a hyperparameter search tool\n",
    "\n",
    "#### Conclusion\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "from __future__ import absolute_import\n",
    "from __future__ import division\n",
    "from __future__ import print_function\n",
    "\n",
    "import os\n",
    "import glob\n",
    "import tabulate\n",
    "import pprint\n",
    "import click\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from ray.tune.commands import *\n",
    "from nupic.research.frameworks.dynamic_sparse.common.browser import *\n",
    "import re\n",
    "\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib import rcParams\n",
    "\n",
    "%config InlineBackend.figure_format = 'retina'\n",
    "\n",
    "import seaborn as sns\n",
    "sns.set(style=\"whitegrid\")\n",
    "sns.set_palette(\"colorblind\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load and check data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "exps = ['sigopt_baseline_comp', 'test_sigopt.py']\n",
    "paths = [os.path.expanduser(\"~/nta/results/{}\".format(e)) for e in exps]\n",
    "df = load_many(paths)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'0'"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_string = '0_learning_'\n",
    "re.match('^\\d+', test_string)[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Experiment Name</th>\n",
       "      <th>train_acc_max</th>\n",
       "      <th>train_acc_max_epoch</th>\n",
       "      <th>train_acc_min</th>\n",
       "      <th>train_acc_min_epoch</th>\n",
       "      <th>train_acc_median</th>\n",
       "      <th>train_acc_last</th>\n",
       "      <th>val_acc_max</th>\n",
       "      <th>val_acc_max_epoch</th>\n",
       "      <th>val_acc_min</th>\n",
       "      <th>...</th>\n",
       "      <th>model</th>\n",
       "      <th>name</th>\n",
       "      <th>network</th>\n",
       "      <th>num_classes</th>\n",
       "      <th>on_perc</th>\n",
       "      <th>stats_mean</th>\n",
       "      <th>stats_std</th>\n",
       "      <th>experiment_type</th>\n",
       "      <th>params_space</th>\n",
       "      <th>performance_metric</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0_learning_rate=0.0057896,on_perc=0.32882</td>\n",
       "      <td>0.91818</td>\n",
       "      <td>9</td>\n",
       "      <td>0.49662</td>\n",
       "      <td>0</td>\n",
       "      <td>0.81512</td>\n",
       "      <td>0.91818</td>\n",
       "      <td>0.7143</td>\n",
       "      <td>9</td>\n",
       "      <td>0.5764</td>\n",
       "      <td>...</td>\n",
       "      <td>SparseModel</td>\n",
       "      <td>sigopt_baseline_comp</td>\n",
       "      <td>resnet18</td>\n",
       "      <td>10</td>\n",
       "      <td>0.328820</td>\n",
       "      <td>0.473367</td>\n",
       "      <td>0.2009</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1_learning_rate=0.13991,on_perc=0.52182</td>\n",
       "      <td>0.86278</td>\n",
       "      <td>9</td>\n",
       "      <td>0.35546</td>\n",
       "      <td>0</td>\n",
       "      <td>0.73908</td>\n",
       "      <td>0.86278</td>\n",
       "      <td>0.7202</td>\n",
       "      <td>8</td>\n",
       "      <td>0.4488</td>\n",
       "      <td>...</td>\n",
       "      <td>SparseModel</td>\n",
       "      <td>sigopt_baseline_comp</td>\n",
       "      <td>resnet18</td>\n",
       "      <td>10</td>\n",
       "      <td>0.521823</td>\n",
       "      <td>0.473367</td>\n",
       "      <td>0.2009</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2_learning_rate=0.1937,on_perc=0.71132</td>\n",
       "      <td>0.75688</td>\n",
       "      <td>9</td>\n",
       "      <td>0.28814</td>\n",
       "      <td>0</td>\n",
       "      <td>0.62464</td>\n",
       "      <td>0.75688</td>\n",
       "      <td>0.6991</td>\n",
       "      <td>9</td>\n",
       "      <td>0.3903</td>\n",
       "      <td>...</td>\n",
       "      <td>SparseModel</td>\n",
       "      <td>sigopt_baseline_comp</td>\n",
       "      <td>resnet18</td>\n",
       "      <td>10</td>\n",
       "      <td>0.711315</td>\n",
       "      <td>0.473367</td>\n",
       "      <td>0.2009</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3_learning_rate=0.014079,on_perc=0.99743</td>\n",
       "      <td>0.92836</td>\n",
       "      <td>9</td>\n",
       "      <td>0.47330</td>\n",
       "      <td>0</td>\n",
       "      <td>0.81634</td>\n",
       "      <td>0.92836</td>\n",
       "      <td>0.7424</td>\n",
       "      <td>9</td>\n",
       "      <td>0.5751</td>\n",
       "      <td>...</td>\n",
       "      <td>SparseModel</td>\n",
       "      <td>sigopt_baseline_comp</td>\n",
       "      <td>resnet18</td>\n",
       "      <td>10</td>\n",
       "      <td>0.997429</td>\n",
       "      <td>0.473367</td>\n",
       "      <td>0.2009</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4_learning_rate=0.11306,on_perc=0.97861</td>\n",
       "      <td>0.82902</td>\n",
       "      <td>9</td>\n",
       "      <td>0.32164</td>\n",
       "      <td>0</td>\n",
       "      <td>0.70090</td>\n",
       "      <td>0.82902</td>\n",
       "      <td>0.7131</td>\n",
       "      <td>8</td>\n",
       "      <td>0.4330</td>\n",
       "      <td>...</td>\n",
       "      <td>SparseModel</td>\n",
       "      <td>sigopt_baseline_comp</td>\n",
       "      <td>resnet18</td>\n",
       "      <td>10</td>\n",
       "      <td>0.978613</td>\n",
       "      <td>0.473367</td>\n",
       "      <td>0.2009</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 37 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                             Experiment Name  train_acc_max  \\\n",
       "0  0_learning_rate=0.0057896,on_perc=0.32882        0.91818   \n",
       "1    1_learning_rate=0.13991,on_perc=0.52182        0.86278   \n",
       "2     2_learning_rate=0.1937,on_perc=0.71132        0.75688   \n",
       "3   3_learning_rate=0.014079,on_perc=0.99743        0.92836   \n",
       "4    4_learning_rate=0.11306,on_perc=0.97861        0.82902   \n",
       "\n",
       "   train_acc_max_epoch  train_acc_min  train_acc_min_epoch  train_acc_median  \\\n",
       "0                    9        0.49662                    0           0.81512   \n",
       "1                    9        0.35546                    0           0.73908   \n",
       "2                    9        0.28814                    0           0.62464   \n",
       "3                    9        0.47330                    0           0.81634   \n",
       "4                    9        0.32164                    0           0.70090   \n",
       "\n",
       "   train_acc_last  val_acc_max  val_acc_max_epoch  val_acc_min  ...  \\\n",
       "0         0.91818       0.7143                  9       0.5764  ...   \n",
       "1         0.86278       0.7202                  8       0.4488  ...   \n",
       "2         0.75688       0.6991                  9       0.3903  ...   \n",
       "3         0.92836       0.7424                  9       0.5751  ...   \n",
       "4         0.82902       0.7131                  8       0.4330  ...   \n",
       "\n",
       "         model                  name   network num_classes   on_perc  \\\n",
       "0  SparseModel  sigopt_baseline_comp  resnet18          10  0.328820   \n",
       "1  SparseModel  sigopt_baseline_comp  resnet18          10  0.521823   \n",
       "2  SparseModel  sigopt_baseline_comp  resnet18          10  0.711315   \n",
       "3  SparseModel  sigopt_baseline_comp  resnet18          10  0.997429   \n",
       "4  SparseModel  sigopt_baseline_comp  resnet18          10  0.978613   \n",
       "\n",
       "  stats_mean  stats_std  experiment_type  params_space  performance_metric  \n",
       "0   0.473367     0.2009              NaN           NaN                 NaN  \n",
       "1   0.473367     0.2009              NaN           NaN                 NaN  \n",
       "2   0.473367     0.2009              NaN           NaN                 NaN  \n",
       "3   0.473367     0.2009              NaN           NaN                 NaN  \n",
       "4   0.473367     0.2009              NaN           NaN                 NaN  \n",
       "\n",
       "[5 rows x 37 columns]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Experiment Name', 'train_acc_max', 'train_acc_max_epoch',\n",
       "       'train_acc_min', 'train_acc_min_epoch', 'train_acc_median',\n",
       "       'train_acc_last', 'val_acc_max', 'val_acc_max_epoch', 'val_acc_min',\n",
       "       'val_acc_min_epoch', 'val_acc_median', 'val_acc_last', 'val_acc_all',\n",
       "       'epochs', 'experiment_file_name', 'trial_time', 'mean_epoch_time',\n",
       "       'batch_size_test', 'batch_size_train', 'checkpoint_dir', 'data_dir',\n",
       "       'dataset_name', 'device', 'input_size', 'learning_rate', 'local_dir',\n",
       "       'model', 'name', 'network', 'num_classes', 'on_perc', 'stats_mean',\n",
       "       'stats_std', 'experiment_type', 'params_space', 'performance_metric'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Random Search', 'SigOpt-A', 'SigOpt-B'], dtype=object)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['experiment_file_name'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "def fix_name(s):\n",
    "    if s == '/Users/lsouza/nta/results/sigopt_baseline_comp/experiment_state-2020-03-16_03-33-36.json':\n",
    "        return 'Random Search'\n",
    "    elif s == '/Users/lsouza/nta/results/test_sigopt.py/experiment_state-2020-03-15_23-03-55.json':\n",
    "        return \"SigOpt-A\"\n",
    "    elif s == '/Users/lsouza/nta/results/test_sigopt.py/experiment_state-2020-03-16_01-05-45.json':\n",
    "        return \"SigOpt-B\"\n",
    "\n",
    "df['experiment_file_name'] = df['experiment_file_name'].apply(fix_name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Random Search', 'SigOpt-A', 'SigOpt-B'], dtype=object)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['experiment_file_name'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_index(s):\n",
    "    return int(re.match('^\\d+', s)[0])\n",
    "\n",
    "df['index_pos'] = df['Experiment Name'].apply(get_index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['density'] = df['on_perc']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Experiment Name                17_learning_rate=0.0072931,on_perc=0.68856\n",
       "train_acc_max                                                     0.93018\n",
       "train_acc_max_epoch                                                     9\n",
       "train_acc_min                                                      0.4897\n",
       "train_acc_min_epoch                                                     0\n",
       "train_acc_median                                                  0.82547\n",
       "train_acc_last                                                    0.93018\n",
       "val_acc_max                                                        0.7311\n",
       "val_acc_max_epoch                                                       9\n",
       "val_acc_min                                                        0.5663\n",
       "val_acc_min_epoch                                                       0\n",
       "val_acc_median                                                     0.7029\n",
       "val_acc_last                                                       0.7311\n",
       "val_acc_all             0    0.5663\n",
       "1    0.6544\n",
       "2    0.6861\n",
       "3    0.704...\n",
       "epochs                                                                 10\n",
       "experiment_file_name                                        Random Search\n",
       "trial_time                                                        4.79114\n",
       "mean_epoch_time                                                  0.479114\n",
       "batch_size_test                                                      1024\n",
       "batch_size_train                                                      256\n",
       "checkpoint_dir                               /home/ubuntu/nta/checkpoints\n",
       "data_dir                                                       ~/nta/data\n",
       "dataset_name                                                      CIFAR10\n",
       "device                                                               cuda\n",
       "input_size                                                        22.3333\n",
       "learning_rate                                                  0.00729313\n",
       "local_dir                                        /home/ubuntu/nta/results\n",
       "model                                                         SparseModel\n",
       "name                                                 sigopt_baseline_comp\n",
       "network                                                          resnet18\n",
       "num_classes                                                            10\n",
       "on_perc                                                          0.688559\n",
       "stats_mean                                                       0.473367\n",
       "stats_std                                                          0.2009\n",
       "experiment_type                                                       NaN\n",
       "params_space                                                          NaN\n",
       "performance_metric                                                    NaN\n",
       "index_pos                                                              17\n",
       "Name: 17, dtype: object"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.iloc[17]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "experiment_file_name\n",
       "Random Search    100\n",
       "SigOpt-A         100\n",
       "SigOpt-B         100\n",
       "Name: model, dtype: int64"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby('experiment_file_name')['model'].count()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " ## Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "# helper functions\n",
    "def mean_and_std(s):\n",
    "    return \"{:.3f} ± {:.3f}\".format(s.mean(), s.std())\n",
    "\n",
    "def round_mean(s):\n",
    "    return \"{:.0f}\".format(round(s.mean()))\n",
    "\n",
    "stats = ['min', 'max', 'mean', 'std']\n",
    "\n",
    "def agg(columns, filter=None, round=3):\n",
    "    if filter is None:\n",
    "        return (df.groupby(columns)\n",
    "             .agg({'val_acc_max_epoch': round_mean,\n",
    "                   'val_acc_max': stats,                \n",
    "                   'model': ['count']})).round(round)\n",
    "    else:\n",
    "        return (df[filter].groupby(columns)\n",
    "             .agg({'val_acc_max_epoch': round_mean,\n",
    "                   'val_acc_max': stats,                \n",
    "                   'model': ['count']})).round(round)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr:last-of-type th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>val_acc_max_epoch</th>\n",
       "      <th colspan=\"4\" halign=\"left\">val_acc_max</th>\n",
       "      <th>model</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>round_mean</th>\n",
       "      <th>min</th>\n",
       "      <th>max</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>experiment_file_name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Random Search</th>\n",
       "      <td>8</td>\n",
       "      <td>0.694</td>\n",
       "      <td>0.752</td>\n",
       "      <td>0.722</td>\n",
       "      <td>0.013</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SigOpt-A</th>\n",
       "      <td>8</td>\n",
       "      <td>0.682</td>\n",
       "      <td>0.755</td>\n",
       "      <td>0.736</td>\n",
       "      <td>0.013</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SigOpt-B</th>\n",
       "      <td>8</td>\n",
       "      <td>0.688</td>\n",
       "      <td>0.756</td>\n",
       "      <td>0.737</td>\n",
       "      <td>0.011</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     val_acc_max_epoch val_acc_max                      model\n",
       "                            round_mean         min    max   mean    std count\n",
       "experiment_file_name                                                         \n",
       "Random Search                        8       0.694  0.752  0.722  0.013   100\n",
       "SigOpt-A                             8       0.682  0.755  0.736  0.013   100\n",
       "SigOpt-B                             8       0.688  0.756  0.737  0.011   100"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "agg(['experiment_file_name'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_acc_over_time(plot_title):\n",
    "    plt.figure(figsize=(12,6))\n",
    "    df_plot = df[df['experiment_file_name'] == plot_title]\n",
    "    sns.lineplot(df_plot['index_pos'], y=df_plot['val_acc_last'])\n",
    "    plt.xticks(np.arange(0,100,5))\n",
    "    plt.ylim(0.67,0.76)\n",
    "    plt.title(plot_title)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 390,
       "width": 730
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 390,
       "width": 730
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 390,
       "width": 730
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# how to plot?\n",
    "plot_acc_over_time('Random Search')\n",
    "plot_acc_over_time('SigOpt-A')\n",
    "plot_acc_over_time('SigOpt-B')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {},
   "outputs": [],
   "source": [
    "def accumulate(series):\n",
    "    series = list(series)\n",
    "    cum_series = [series[0]]\n",
    "    for i in range(1, len(series)):\n",
    "        cum_series.append(max(cum_series[i-1], series[i]))\n",
    "    return cum_series   \n",
    "\n",
    "def plot_best_acc_over_time(plot_title):\n",
    "    plt.figure(figsize=(12,6))\n",
    "    df_plot = df[df['experiment_file_name'] == plot_title].sort_values('index_pos')\n",
    "    df_plot['cum_acc'] = accumulate(df_plot['val_acc_last'])\n",
    "    sns.lineplot(df_plot['index_pos'], y=df_plot['cum_acc'])\n",
    "    plt.xticks(np.arange(0,101,5))\n",
    "    plt.ylim(0.71,0.76)\n",
    "    plt.title(plot_title)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 390,
       "width": 730
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 390,
       "width": 730
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 390,
       "width": 730
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_best_acc_over_time('Random Search')\n",
    "plot_best_acc_over_time('SigOpt-A')\n",
    "plot_best_acc_over_time('SigOpt-B')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "metadata": {},
   "outputs": [],
   "source": [
    "# list top 5 values of each\n",
    "# show best values\n",
    "def show_best(experiment):\n",
    "    df_exp = df[df['experiment_file_name'] == experiment].sort_values('val_acc_last', ascending=False)[:5]\n",
    "    return df_exp[['index_pos', 'learning_rate', 'density', 'val_acc_last']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>index_pos</th>\n",
       "      <th>learning_rate</th>\n",
       "      <th>density</th>\n",
       "      <th>val_acc_last</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>28</td>\n",
       "      <td>0.026649</td>\n",
       "      <td>0.878527</td>\n",
       "      <td>0.7522</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>59</td>\n",
       "      <td>0.047101</td>\n",
       "      <td>0.947805</td>\n",
       "      <td>0.7508</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>44</td>\n",
       "      <td>0.032397</td>\n",
       "      <td>0.893441</td>\n",
       "      <td>0.7426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>0.014079</td>\n",
       "      <td>0.997429</td>\n",
       "      <td>0.7424</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>90</td>\n",
       "      <td>0.052555</td>\n",
       "      <td>0.783216</td>\n",
       "      <td>0.7405</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    index_pos  learning_rate   density  val_acc_last\n",
       "28         28       0.026649  0.878527        0.7522\n",
       "59         59       0.047101  0.947805        0.7508\n",
       "44         44       0.032397  0.893441        0.7426\n",
       "3           3       0.014079  0.997429        0.7424\n",
       "90         90       0.052555  0.783216        0.7405"
      ]
     },
     "execution_count": 153,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "show_best('Random Search')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>index_pos</th>\n",
       "      <th>learning_rate</th>\n",
       "      <th>density</th>\n",
       "      <th>val_acc_last</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>44</td>\n",
       "      <td>0.047389</td>\n",
       "      <td>0.780053</td>\n",
       "      <td>0.7540</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>32</td>\n",
       "      <td>0.047302</td>\n",
       "      <td>0.693954</td>\n",
       "      <td>0.7527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>48</td>\n",
       "      <td>0.052172</td>\n",
       "      <td>0.854194</td>\n",
       "      <td>0.7513</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>58</td>\n",
       "      <td>0.034750</td>\n",
       "      <td>0.712643</td>\n",
       "      <td>0.7510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>84</td>\n",
       "      <td>0.032677</td>\n",
       "      <td>0.720800</td>\n",
       "      <td>0.7492</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     index_pos  learning_rate   density  val_acc_last\n",
       "143         44       0.047389  0.780053        0.7540\n",
       "131         32       0.047302  0.693954        0.7527\n",
       "147         48       0.052172  0.854194        0.7513\n",
       "157         58       0.034750  0.712643        0.7510\n",
       "183         84       0.032677  0.720800        0.7492"
      ]
     },
     "execution_count": 154,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "show_best('SigOpt-A')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>index_pos</th>\n",
       "      <th>learning_rate</th>\n",
       "      <th>density</th>\n",
       "      <th>val_acc_last</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>256</th>\n",
       "      <td>57</td>\n",
       "      <td>0.042218</td>\n",
       "      <td>0.628306</td>\n",
       "      <td>0.7563</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>42</td>\n",
       "      <td>0.039869</td>\n",
       "      <td>0.633952</td>\n",
       "      <td>0.7516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>273</th>\n",
       "      <td>74</td>\n",
       "      <td>0.048086</td>\n",
       "      <td>0.633737</td>\n",
       "      <td>0.7512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>283</th>\n",
       "      <td>84</td>\n",
       "      <td>0.037110</td>\n",
       "      <td>0.832327</td>\n",
       "      <td>0.7502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271</th>\n",
       "      <td>72</td>\n",
       "      <td>0.060020</td>\n",
       "      <td>0.509682</td>\n",
       "      <td>0.7500</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     index_pos  learning_rate   density  val_acc_last\n",
       "256         57       0.042218  0.628306        0.7563\n",
       "241         42       0.039869  0.633952        0.7516\n",
       "273         74       0.048086  0.633737        0.7512\n",
       "283         84       0.037110  0.832327        0.7502\n",
       "271         72       0.060020  0.509682        0.7500"
      ]
     },
     "execution_count": 155,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "show_best('SigOpt-B')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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